NQ is a question-answering corpus where the questions are anonymized and aggregated queries are made through the Google search engine [1]}. The corpus consists of 307,373 training examples in the English language with single annotations. This corpus is translated from English to Arabic followed by linear parse by the human. NQ corpus is combined with an Arabic translated version of SQuAD [2]}. SQuAD is the most widely used corpus to train MRC models. It has 100,000 question-answer pairs.
